图谱RAG：Lettria如何通过Qdrant和Neo4j实现20%的准确性提升
Scaled Vector & Graph Retrieval: How Lettria Unlocked 20% Accuracy Gains with Qdrant & Neo4j Why Complex Document Intelligence Needs More Than Just Vector Search In regulated industries where...
Lettria结合Qdrant和Neo4j开发的混合图RAG系统，提升了20%的准确性，特别适用于制药和法律等高要求行业。该系统通过复杂文档解析、自动本体生成和向量搜索，克服了传统RAG的不足，实现高效且可审计的文档智能。
